Triple
T12515659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EdDSA |
E299184
|
entity |
| Predicate | benefitOverECDSA |
P49949
|
FINISHED |
| Object | simpler implementation |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: simpler implementation | Statement: [EdDSA, benefitOverECDSA, simpler implementation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitOverECDSA Context triple: [EdDSA, benefitOverECDSA, simpler implementation]
-
A.
advantageOverHMAC
Indicates that one method, system, or approach provides a security or performance benefit compared to using HMAC.
-
B.
feeEfficiencyComparedToSegwit
Indicates how the transaction’s fee efficiency compares to that of an equivalent SegWit transaction.
-
C.
expectedBenefit
chosen
Indicates the benefit or positive outcome that is anticipated to result from a particular action, decision, or relationship between entities.
-
D.
benefitsAre
Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
-
E.
supports64bitBlockNumbers
Indicates that the subject is capable of handling or operating with 64-bit block number values.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.